Multidisciplinary Journal of Science and Technology

Exploring BEAM Robotics for Adaptive and Energy-Efficient Solutions

Kateryna Stetsenko

Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

Vladyslav Yevsieiev

Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

Svitlana Maksymova

Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

##semicolon## BEAM Robotics, Biological principles, Energy efficiency, Autonomous robots, Adaptability, Sustainable technologies.

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सार

In the rapidly evolving landscape of robotics, engineers and roboticists continually strive to develop intelligent robots capable of versatile tasks. BEAM robots represent a unique class designed with inspiration from biological principles of artificial intelligence. This innovative approach seeks to emulate the functionality of biological organisms, differentiating itself by eschewing microcontrollers and software in favor of simple electrical circuits. The BEAM philosophy centers around crafting uncomplicated mechanisms to address intricate problems, resulting in robots with distinct advantages over their traditional counterparts.  This paper explores the ongoing developments in BEAM robots, emphasizing their energy-efficient nature, minimalist design, and adaptability to the environment. Notably, some BEAM robots exhibit self-organization, demonstrating the potential for collaborative problem-solving without centralized control. The practical implementation of BEAM robotics involves careful component selection. The schematic diagram illustrates the assembly of a BEAM robot, emphasizing the importance of mechanical design to ensure autonomy. Looking ahead, the paper outlines future enhancements for BEAM robots, including the implementation of an energy analysis system. This system will enable the robot to autonomously transition into a sleep mode during periods of insufficient energy, contributing to prolonged autonomy in varying environmental conditions.

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